Weather Trades is the ONLY company in the world that provides YEAR-AHEAD forecasts that can be integrated into trading models and other business applications. Weather Trades provides a complete suite of products and services for commodity traders, energy traders, and the entire agricultural industry. This includes typical short range-forecasting services along with proprietary year-ahead global forecasts and analytical assessments for grains, sugar, energy, and other weather driven commodity markets across the globe
Over the past 10 years Weather Trades has statistically analyzed the impact of weather on 1,000s of seasonal categories, equities and commodities proving that weather is the most significant external factor on sales and commodity prices. Weather Trades has a proven track record demonstrating our accuracy is second to none with over $500 million in ROI to clients and the only company in the world capable of providing actionable and profitable long range strategy recommendations for commodities such as corn, wheat, soybeans, sugar, coffee, cocoa, dairy, energy, etc.
To take full advantage of the commodity markets one must use future weather predictions is to fully understand how a particular product or commodity reacts to the weather, but also factor in how HUMANS and MARKETS react to the weather. Most entities only have the ability to REACT to forecasts and weather-influenced changes in market patterns. Weather Trades dramatically reduces this need to react with the ability to be PROACTIVE with a more accurate long and short term position on how the markets are likely to react BEFORE the changes take place.
It is also important to note that there are times when Weather Trades would not recommend entering a position on a particular commodity as the expected volatility or price movement may not be large enough to warrant the risk, i.e. little weather risk for major price movement.
Weather Trades minimizes financial risks and maximizes financial gains through integration of global year-ahead, short and long range weather models into existing commodity trading algorithms to dramatically enhance the success of trading initiatives for today’s day trading or long term positions.